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Abstract
The paper uses logistic regression model to determine factors affecting
probability of income increase in agricultural holdings specialised in
milk production. Analysis had a dynamic character and covered the period
between 2009 and 2011. Independent variables included both quality and
quantity features associated with farm activities. The analysis showed that,in each year, the most important variables in the logit model concerned the utilised agricultural area and the number of dairy cows, which had a positive impact on probability of income increase. All estimated models are characterised by high quality and thus can be used to correctly classify agricultural holdings.